Error executing a demo_part3.ipynb in Jupiter
Hi, did you manage to fix it? I tried, but I gave up, unfortunately. You need to open se_extractor.py and replace line 22 with
`model = WhisperModel(model_size, device="cpu", compute_type="float32")`
then restart the kernel
I get this error when I execute demo_part3.ipynb in Jupiter.

My GPU is a GTX 1060 6GB VM.

> ---------------------------------------------------------------------------

ValueError                                Traceback (most recent call last)
Cell In[3], line 2
      1 reference_speaker = 'resources/example_reference.mp3' # This is the voice you want to clone
----> 2 target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)

File ~/dev/OpenVoice/openvoice/se_extractor.py:146, in get_se(audio_path, vc_model, target_dir, vad)
    144     wavs_folder = split_audio_vad(audio_path, target_dir=target_dir, audio_name=audio_name)
    145 else:
--> 146     wavs_folder = split_audio_whisper(audio_path, target_dir=target_dir, audio_name=audio_name)
    148 audio_segs = glob(f'{wavs_folder}/*.wav')
    149 if len(audio_segs) == 0:

File ~/dev/OpenVoice/openvoice/se_extractor.py:22, in split_audio_whisper(audio_path, audio_name, target_dir)
     20 global model
     21 if model is None:
---> 22     model = WhisperModel(model_size, device="cuda", compute_type="float16")
     23 audio = AudioSegment.from_file(audio_path)
     24 max_len = len(audio)

File ~/.local/lib/python3.10/site-packages/faster_whisper/transcribe.py:128, in WhisperModel.__init__(self, model_size_or_path, device, device_index, compute_type, cpu_threads, num_workers, download_root, local_files_only)
    121 else:
    122     model_path = download_model(
    123         model_size_or_path,
    124         local_files_only=local_files_only,
    125         cache_dir=download_root,
    126     )
--> 128 self.model = ctranslate2.models.Whisper(
    129     model_path,
    130     device=device,
    131     device_index=device_index,
    132     compute_type=compute_type,
    133     intra_threads=cpu_threads,
    134     inter_threads=num_workers,
    135 )
    137 tokenizer_file = os.path.join(model_path, "tokenizer.json")
    138 if os.path.isfile(tokenizer_file):

ValueError: Requested float16 compute type, but the target device or backend do not support efficient float16 computation.
